Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks

Jianfeng Huang, Chenyang Li, Yimin Lin +1

It is hard to collect enough flaw images for training deep learning network in industrial production. Therefore, existing industrial anomaly detection methods prefer to use CNN-bas…